metadata
library_name: transformers
base_model: metinovadilet/miti-2.3b-base-v1
tags:
- generated_from_trainer
model-index:
- name: miti-2.3b-base-v1
results: []
license: mit
language:
- ky
miti-2.3b-base-v1
Beta — first Kyrgyz-language large language model built from scratch Still experimental in coherence, the model produces somewhat grammatically correct and fluent sentences, contributing to low-resource NLP research for the Kyrgyz language.
P.S: I don't have enough data to make a better pre-train so project is on hold for now.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 1
(technically run several epochs not 1)
Training results
Framework versions
- Transformers 4.56.2
- Pytorch 2.8.0.dev20250319+cu128
- Datasets 4.1.1
- Tokenizers 0.22.1
Metinov Adilet 2025